Triple

T2180386
Position Surface form Disambiguated ID Type / Status
Subject Tashelhit E49027 entity
Predicate hasAlternativeName P39 FINISHED
Object Tashelhiyt E29648 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tashelhiyt | Statement: [Tashelhit, hasAlternativeName, Tashelhiyt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tashelhiyt
Context triple: [Tashelhit, hasAlternativeName, Tashelhiyt]
  • A. Winaray
    Winaray is an Austronesian language spoken primarily in the Eastern Visayas region of the Philippines, particularly in Samar, northern Leyte, and nearby areas.
  • B. Yidgha
    Yidgha is an Eastern Iranian language spoken primarily in parts of northern Pakistan, closely related to the Munji language and noted for its conservative phonological features.
  • C. Siwi chosen
    Siwi is a Berber language spoken primarily in Egypt’s Siwa Oasis, known for its unique features and relative isolation from other Berber varieties.
  • D. Taracahitic
    Taracahitic is a proposed subgroup of the Uto-Aztecan language family that includes several indigenous languages once spoken in northwestern Mexico.
  • E. Burushaski
    Burushaski is a language isolate spoken by the Burusho people in northern Pakistan, particularly in the Hunza, Nagar, and Yasin valleys of Gilgit-Baltistan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbef0e2f0819080ca457fe3b8b419 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da5930c819087e71a609f76e269 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:45 p.m.